In this article, we examine whether social media information affects the price-discovery process for cross-listed companies. Using over 29 million overnight tweets mentioning cross-listed companies, we examine the role of social media for a link between the last periods of trading in the US markets and the first periods in the UK market. Our estimates suggest that the size and content of information flows on social networks support the price-discovery process. The interactions between lagged US stock features and overnight tweets significantly affect stock returns and volatility of cross-listed stocks when the UK market opens. These effects weaken and disappear 1 to 3 hr after the opening of the UK market. We also develop a profitable trading strategy based on overnight social media, and the profits remain economically significant after considering transaction costs.
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Univ Toronto, Rotman Sch Management, 105 St George St, Toronto, ON, CanadaUniv Toronto, Rotman Sch Management, 105 St George St, Toronto, ON, Canada
Callen, Jeffrey L.
Lai, Karen M. Y.
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Monash Univ, Fac Business & Econ, Clayton, Vic 3800, AustraliaUniv Toronto, Rotman Sch Management, 105 St George St, Toronto, ON, Canada
Lai, Karen M. Y.
Wei, Steven X.
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Hong Kong Polytech Univ, Sch Accounting & Finance, Hong Kong, Hong Kong, Peoples R ChinaUniv Toronto, Rotman Sch Management, 105 St George St, Toronto, ON, Canada
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Univ Tunis El Manar, Fac Sci Econ & Management Tunis FSEG Tunis, El Manar, TunisiaUniv Tunis El Manar, Fac Sci Econ & Management Tunis FSEG Tunis, El Manar, Tunisia
Ghadhab, Imen
Hellara, Slaheddine
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Higher Inst Management Tunis ISG Tunis, Tunis 2000, TunisiaUniv Tunis El Manar, Fac Sci Econ & Management Tunis FSEG Tunis, El Manar, Tunisia